Calls for papers for the special issue in a peer-reviewed journal Designs (ISSN 2411-9660) "Designing Industrial Monitoring Systems with the Help of Machine Learning" 2022-2023 The proposed special issue is devoted to exploring innovative automatic decision-based monitoring systems in the Automotive industry, Industrial Agriculture, Healthcare industry, Process Industries and Construction Management. Keywords: SHM design machine, bridges, tunnels, pipelines self-diagnostics sensor development data analysis, data mining, data management machine learning for monitoring and diagnostics More details: https://www.mdpi.com/journal/designs/special_issues/DIMSML
Hello Everyone! Post about SHM of wonderful Gliwice bridge over Klodnica River 😊. A first-class infrastructure is an inevitable factor for economic growth. Bridges have a key position in this infrastructure system. Its functional failure or collapse has significant economic and financial consequences. For this reason, it is important to regularly monitor the current bridge condition, and derive estimates of the remaining service life. This ensures a safe and economically sensible use for existing structures. For this purpose, The research is conducted on the real bridge within DTS (Silesian Central Motorway) in Gliwice ( Shared object for INFRASTAR project ), which is instrumented with various sensors . The location of the bridge is illustrated in Figure below. The sensors were install by NeoStrain in the construction during the erection works. Figure: Gliwice Bridge I t is located along the Katowice - Gliwice Route within DTS (Silesian Central Motor